The math in "a lot of math" and the soup in "souped-up linear classifiers" are really not stuff to be casually swept under the carpet :) They still remain one o

The math in "a lot of math" and the soup in "souped-up linear classifiers" are really not stuff to be casually swept under the carpet :) They still remain one of the best off-the-shelf learners one can use (look at "An Empirical Comparison of Supervised Learning Algorithms" by Rich Caruana et al).